Our primary purpose here is to introduce several methods of statistical dispersion. Otherwise known as statistical variability or spread, statistical dispersion is a measure of how much a vector of continuous data is spread out or scattered around a middle value. It’s often not enough to just know the mean or median; knowing the methods by which to compute statistical dispersion is essential for gaining a true understanding of numeric data, with practical implications around assessing risk and measuring consistency and volatility frequently on the line.